Course Includes:
- Price: FREE
- Enrolled: 5167 students
- Language: English
- Certificate: Yes
- Difficulty: Beginner
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Course Folder
What You'll Learn
- Introduction to Data Governance
- Data Governance Frameworks
- Data Governance Roles and Responsibilities
- Data Quality Management
- Data Management Fundamentals
- Data Governance and Management in Practice
- Data Governance Tools and Technology
Requirements
- For a better learning experience
- we suggest you to use a laptop / mobile phone / pen and paper for taking notes
- highlighting important points
- and making summaries to reinforce your learning.
Description
Welcome to Program: Data Quality, Management and Governance by MTF Institute
Course provided by MTF Institute of Management, Technology and Finance
MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.
MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.
MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.
MTF is present in 215 countries and has been chosen by more than 678 000 students.
Course Author:
Dr. Alex Amoroso is a seasoned professional with a rich background in academia and industry, specializing in research methodologies, strategy formulation, and product development. With a Doctorate Degree from the School of Social Sciences and Politics in Lisbon, Portugal, where she was awarded distinction and honour for her exemplary research, Alex Amoroso brings a wealth of knowledge and expertise to the table.
In addition to her doctoral studies, Ms. Amoroso has served as an invited teacher, delivering courses on to wide range of students from undergraduate level to business students of professional and executives courses. Currently, at EIMT in Zurich, Switzerland, she lectures for doctoral students, offering advanced instruction in research design and methodologies, and in MTF Institute Ms. Amoroso is leading Product Development academical domain.
In synergy between academical and business experience, Ms. Amoroso achieved high results in business career, leading R&D activities, product development, strategic development, market analysis activities in wide range of companies. She implemented the best market practices in industries from Banking and Finance, to PropTech, Consulting and Research, and Innovative Startups.
Alex Amoroso's extensive scientific production includes numerous published articles in reputable journals, as well as oral presentations and posters at international conferences. Her research findings have been presented at esteemed institutions such as the School of Political and Social Sciences and the Stressed Out Conference at UCL, among others.
With a passion for interdisciplinary collaboration and a commitment to driving positive change, Alex Amoroso is dedicated to empowering learners and professionals for usage of cutting edge methodologies for achieving of excellence in global business world.
Data Quality
Data quality refers to the overall condition of data and its fitness for use in business operations, decision-making, and planning. High-quality data is accurate, complete, consistent, timely, and valid.
Why it's important: Poor data quality can lead to misguided decisions, wasted resources, missed opportunities, and even reputational damage.
Data Management
This encompasses the processes, technologies, and policies used to acquire, store, organize, protect, and deliver data. It's about ensuring the right data is available to the right people at the right time.
Why it's important: Effective data management streamlines operations, improves efficiency, and enables organizations to extract valuable insights from their data assets. Think of it as the foundation for turning data into a strategic advantage.
Data Governance
Data governance is the framework of policies, processes, and responsibilities that ensure data is managed properly. It defines who is accountable for data, how it should be used, and how it's protected.
Why it's important: Data governance ensures data integrity, compliance with regulations (like GDPR), and reduces risks associated with data breaches or misuse. It's like the guardrails that keep data safe and useful.
Why are these concepts important for companies?
In data-driven world, companies that effectively manage and govern their data have a significant competitive edge. Here's why:
Better Decision-Making: High-quality data leads to informed decisions, reducing the risk of costly mistakes.
Improved Efficiency: Streamlined data processes save time and resources.
Increased Revenue: Data-driven insights can identify new opportunities, improve customer targeting, and optimize pricing strategies.
Enhanced Compliance: Proper data governance ensures adherence to data privacy regulations, avoiding hefty fines and legal issues.
Stronger Reputation: Trustworthy data builds trust with customers and partners.
Why is knowledge of these concepts important for business and IT experts and managers?
Both business and IT professionals need a solid understanding of data quality, management, and governance to:
Bridge the Gap: IT experts understand the technical aspects of data, while business leaders grasp the strategic implications. Knowledge of these concepts allows them to collaborate effectively.
Drive Innovation: By understanding data's potential, they can identify new ways to leverage it for innovation and growth.
Champion Data Literacy: They can promote data literacy within their teams, empowering everyone to make data-informed decisions.
Mitigate Risks: Knowledge of data governance helps them understand and address potential risks associated with data.
Lead with Confidence: In a data-centric world, leaders equipped with this knowledge can confidently steer their organizations towards success.
Data quality, management, and governance are no longer just IT concerns; they are critical for every aspect of a successful business. By understanding these concepts, business and IT professionals can unlock the true value of data and drive their organizations forward.
Who this course is for:
- No special requirements. A course for anyone who wants to build career in Data Quality
- Data Management & Data Governance
- "Data Quality Data quality refers to the overall condition of data and its fitness for use in business operations
- decision-making
- and planning. High-quality data is accurate
- complete
- consistent
- timely
- and valid. Why its important: Poor data quality can lead to misguided decisions
- wasted resources
- missed opportunities
- and even reputational damage."
- "Data Management This encompasses the processes
- technologies
- and policies used to acquire
- store
- organize
- protect
- and deliver data. Its about ensuring the right data is available to the right people at the right time. Why its important: Effective data management streamlines operations
- improves efficiency
- and enables organizations to extract valuable insights from their data assets. Think of it as the foundation for turning data into a strategic advantage."
- "Data Governance Data governance is the framework of policies
- processes
- and responsibilities that ensure data is managed properly. It defines who is accountable for data
- how it should be used
- and how its protected. Why its important: Data governance ensures data integrity
- compliance with regulations (like GDPR)
- and reduces risks associated with data breaches or misuse. Its like the guardrails that keep data safe and useful."
- "Why are these concepts important for companies? In data-driven world
- companies that effectively manage and govern their data have a significant competitive edge. Heres why: Better Decision-Making: High-quality data leads to informed decisions
- reducing the risk of costly mistakes. Improved Efficiency: Streamlined data processes save time and resources. Increased Revenue: Data-driven insights can identify new opportunities
- improve customer targeting
- and optimize pricing strategies. Enhanced Compliance: Proper data governance ensures adherence to data privacy regulations
- avoiding hefty fines and legal issues. Stronger Reputation: Trustworthy data builds trust with customers and partners."
- "Why is knowledge of these concepts important for business and IT experts and managers? Both business and IT professionals need a solid understanding of data quality
- management
- and governance to: Bridge the Gap: IT experts understand the technical aspects of data
- while business leaders grasp the strategic implications. Knowledge of these concepts allows them to collaborate effectively. Drive Innovation: By understanding datas potential
- they can identify new ways to leverage it for innovation and growth. Champion Data Literacy: They can promote data literacy within their teams
- empowering everyone to make data-informed decisions. Mitigate Risks: Knowledge of data governance helps them understand and address potential risks associated with data. Lead with Confidence: In a data-centric world
- leaders equipped with this knowledge can confidently steer their organizations towards success."
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